原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Taskbounty Check

作者:eliottreich版本 0.1.6i★ –i在你的电脑上运行
注册名称io.github.eliottreich/taskbounty-check

安装

概览

作者提供的说明(英文原文)

Local GitHub Actions/CI maintenance check (action pinning, token perms). Not a full security audit.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "taskbounty-check": {
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add taskbounty-check -- npx -y taskbounty-check mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "taskbounty-check": {
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "taskbounty-check": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "taskbounty-check",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 eliottreich 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1396 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1396 个服务器的 27% 更新
  • 基础检查结果等于或优于此分类中其他 1396 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Taskbounty Check 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.6)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

taskbounty-check

A local check for GitHub Actions and CI maintenance hygiene (third-party action pinning, workflow token permissions, and update automation), built for apps shipped with Lovable, Bolt, Replit, Cursor, or v0.

Local by default. No uploads. No telemetry. It reads only your workflow files, on your machine. The default code path makes no outbound network requests, writes its report locally, and sends nothing anywhere. There is no analytics or phone-home of any kind. Only the opt-in --gh-org mode uses the network (through your own gh session).

Works with Cursor, Claude Code, and Codex (local MCP server, below).

Three ways to use it

1. GitHub Action — add a maintenance check to CI that writes a summary to the run (no PR comments, no source upload):

permissions:

contents: read steps:

  • uses: actions/checkout@v4
  • run: npx taskbounty-check@0.1.6 . --github-summary --no-network

Want a human to interpret or fix what the Action surfaces? Request a free launch-safety review. TaskBounty gets no access to your repo, source, or workflows unless you submit that form.

2. Agent / MCP — a local stdio server for Cursor, Claude Code, and Codex:

npx -y taskbounty-check@0.1.6 mcp

3. One-off CLI — scan the current repo locally and write a report:

npx -y taskbounty-check@0.1.6 .

Pin a version (@0.1.6) in committed config and CI for reproducibility. @latest is convenient

for a quick one-off, but a pinned version is the reproducible choice.

The GitHub job summary

The Action writes a counts-only maintenance summary to the workflow run (categories and next steps, no filenames, line numbers, or repo source). Below is that exact summary, rendered from this repo's own CI output:

See it produced live by the self-check job in this repository's Actions runs.

Prefer a guided walkthrough? Follow the five-minute real-repository quickstart.

Learn more
  • Methodology — exactly what it reviews and how findings are labeled.
  • Privacy and scope — local-by-default data handling.
  • Limitations — what it does NOT check (below).

Supported checks (and honest limitations)

Checks (GitHub Actions + CI maintenance hygiene):

  • Third-party actions pinned to a movable tag/branch instead of a commit SHA
  • Broad (write-all) workflow token permissions
  • Missing explicit permissions: block
  • Update automation (Dependabot/Renovate) presence
  • Context-dependent workflow patterns flagged for private review (e.g. pull_request_target, script injection)

Does NOT check (these need a manual review): exposed secrets, auth/authorization, payments, webhooks, runtime behavior. It is a maintenance/hygiene check, not a full security audit or a penetration test.

What it does

  • Reads only your GitHub Actions workflow files and update-automation config, scans them in-process with a deterministic ruleset (the same rules as the public checker), and writes a local HTML + JSON report. It does not execute workflows, install dependencies, or run any repository code.

Modes

ModeCommandNetwork
Single reponpx taskbounty-check .none
Directory of reposnpx taskbounty-check ./all-reposnone
Explicit pathsnpx taskbounty-check --manifest repos.jsonnone
GitHub org (your gh session)npx taskbounty-check --gh-org yes, opt-in

--gh-org uses your existing gh CLI session to fetch each repo's workflow files to this machine (read-only). Your GitHub token is never read by this tool and never sent to TaskBounty.

What is read, written, transmitted

Run --explain-data to print this at any time.

  • Reads (allowlist — nothing else is opened): /.github/workflows/*.yml|*.yaml and update-automation config (dependabot.yml/renovate.json*). Never source files, .env, secrets, SSH keys, credential stores, or anything outside the selected repository roots. Symlinks that escape a root are skipped, never followed.
  • Writes (local only): .json (full detail) and .html.
  • Transmits: nothing by default. `--share` uploads nothing — it writes a *sanitized, counts-only* file (scan id, label, candidate counts by category, private-review count, scanner version, timestamps; repo names only with --include-repo-names) for you to submit manually. Network stays off under --share. Only --gh-org intentionally uses the network.

Flags

--share · --gh-org · --manifest · --org-label · --include-repo-names · --dry-run · --explain-data · --delete-local-report · --no-network (default everywhere except --gh-org) · --out · --version · --help

Want help interpreting or fixing these results?

Request a free 20-minute launch-safety review: https://www.task-bounty.com/ai-app-security-check/review?utm_source=npm&utm_medium=npm_readme&utm_campaign=workflow_security

TaskBounty receives nothing unless you submit that form. The scan runs locally and the full report stays on your machine; the review form gives us no access to your repositories, source, workflows, or secrets.

GitHub Code Scanning (SARIF)

Emit SARIF 2.1.0 and surface findings in your repo's Security → Code scanning tab:

npx taskbounty-check@latest . --format sarif --output taskbounty.sarif

The SARIF carries deterministic rule ids (taskbounty/ ), severity levels, and file/line references — no source contents, secrets, or environment values, and no network access. Confirmed findings are emitted as kind: fail; lower-confidence items as kind: review.

Help interpreting SARIF results: https://www.task-bounty.com/ai-app-security-check/review?utm_source=github&utm_medium=sarif_docs&utm_campaign=workflow_security

Upload it with the official action (full example in examples/code-scanning.yml):

permissions:

contents: read security-events: write steps:

  • uses: actions/checkout@v4
  • run: npx taskbounty-check@0.1.6 . --format sarif --output taskbounty.sarif
  • uses: github/codeql-action/upload-sarif@v3 with: sarif_file: taskbounty.sarif

Local agent (MCP)

Run a local stdio MCP server so Codex, Claude Code, or Cursor can scan and reason about findings in your editor. It runs locally, makes zero outbound network requests, uploads no source, and never modifies files — generate_fix_plan returns a plan as text for you to apply yourself.

npx taskbounty-check@latest mcp

Tools: scan_repo (local scan summary), explain_finding (plain-language explanation), generate_fix_plan (text fix plan).

Want a human to review the plan? https://www.task-bounty.com/ai-app-security-check/review?utm_source=mcp&utm_medium=mcp_docs&utm_campaign=workflow_security

Cursor — .cursor/mcp.json:

{ "mcpServers": { "taskbounty-check": { "command": "npx", "args": ["-y", "taskbounty-check@latest", "mcp"] } } }

Claude Code:

claude mcp add taskbounty-check -- npx -y taskbounty-check@latest mcp

Codex — in ~/.codex/config.toml:

[mcp_servers.taskbounty-check]

command = "npx" args = ["-y", "taskbounty-check@latest", "mcp"]

Security

Zero runtime dependencies. Published to npm with provenance (verify on the package's npm page). The default run makes no outbound requests and uploads nothing; see the methodology for the full data-handling and scope boundaries.

问 PopNx